Big Learning Expectation Maximization
Y Cong, S Li - Proceedings of the AAAI Conference on Artificial …, 2024 - ojs.aaai.org
Mixture models serve as one fundamental tool with versatile applications. However, their
training techniques, like the popular Expectation Maximization (EM) algorithm, are …
training techniques, like the popular Expectation Maximization (EM) algorithm, are …
A multi-branch dual attention segmentation network for epiphyte drone images
VVS Variyar, V Sowmya, R Sivanpillai… - Image and Vision …, 2024 - Elsevier
Acquiring images of epiphytes growing on trees using Unmanned Aerial Vehicles (UAVs)
enables botanists to efficiently collect data on these important plant species. Despite the …
enables botanists to efficiently collect data on these important plant species. Despite the …
G-SAM: GMM-based segment anything model for medical image classification and segmentation
X Liu, Y Zhao, S Wang, J Wei - Cluster Computing, 2024 - Springer
In medical imaging, the classification and segmentation of lesions have always been
significant topics in clinical research. Different categories of lesions require different …
significant topics in clinical research. Different categories of lesions require different …
A multi-branch dual attention segmentation network for epiphyte drone images
VV Sajith Variyar, V Sowmya, R Sivanpillai, GK Brown - 2024 - dl.acm.org
Acquiring images of epiphytes growing on trees using Unmanned Aerial Vehicles (UAVs)
enables botanists to efficiently collect data on these important plant species. Despite the …
enables botanists to efficiently collect data on these important plant species. Despite the …
A Multi-Branch Dual Attention Segmentation Network for Epiphyte Drone Images
SV VV, R Sivanpillai, GK Brown - papers.ssrn.com
Sampling and monitoring of epiphytes growing in trees inside canopy using Unmanned
Aerial Vehicles (UAV's) provides better approach for Botanist. However, the images …
Aerial Vehicles (UAV's) provides better approach for Botanist. However, the images …